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Housing GANs: Deep Generation of Housing Market Data

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  • Bilgi Yilmaz

    (RPTU Kaiserslautern-Landau
    Kahramanmaras Sutcu Imam University)

Abstract

Modeling housing markets is a challenging and central research area since they are highly related to the economy. However, the limited available data prevents researchers from improving models. As an alternative, this study introduces Housing GANs, a data-driven modeling approach inspired by the recent success of generative adversarial networks (GANs). The Housing GANs include a generator and discriminator function utilizing Wasserstein GAN with gradient penalty and mitigate original housing datasets, including continuous and discrete data. The generator function predicts the real data distribution and generates realistic housing data. The empirical analysis highlights that the Housing GANs successfully learns the distribution and generate realistic housing data in high fidelity.

Suggested Citation

  • Bilgi Yilmaz, 2024. "Housing GANs: Deep Generation of Housing Market Data," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 579-594, July.
  • Handle: RePEc:kap:compec:v:64:y:2024:i:1:d:10.1007_s10614-023-10456-6
    DOI: 10.1007/s10614-023-10456-6
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    References listed on IDEAS

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    1. Yuan, Ran & Wang, Bo & Mao, Zhixin & Watada, Junzo, 2021. "Multi-objective wind power scenario forecasting based on PG-GAN," Energy, Elsevier, vol. 226(C).
    2. Mohammad Navid Fekri & Ananda Mohon Ghosh & Katarina Grolinger, 2019. "Generating Energy Data for Machine Learning with Recurrent Generative Adversarial Networks," Energies, MDPI, vol. 13(1), pages 1-23, December.
    3. Clapp, John M & Giaccotto, Carmelo, 1998. "Price Indices Based on the Hedonic Repeat-Sales Method: Application to the Housing Market," The Journal of Real Estate Finance and Economics, Springer, vol. 16(1), pages 5-26, January.
    4. Puri, Anil K. & Van Lierop, Johannes, 1988. "Forecasting housing starts," International Journal of Forecasting, Elsevier, vol. 4(1), pages 125-134.
    5. Peter F. Colwell & Gene Dilmore, 1999. "Who Was First? An Examination of an Early Hedonic Study," Land Economics, University of Wisconsin Press, vol. 75(4), pages 620-626.
    6. Michiel van Leuvensteijn & Pierre Koning, 2006. "The Effect of Home-Ownership on Labour Mobility in the Netherlands," Chapters, in: Julián Messina & Claudio Michelacci & Jarkko Turunen & Gylfi Zoega (ed.), Labour Market Adjustments in Europe, chapter 6, Edward Elgar Publishing.
    7. Simon Stevenson, 2008. "Modeling Housing Market Fundamentals: Empirical Evidence of Extreme Market Conditions," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 36(1), pages 1-29, March.
    8. Coulson, N Edward & Bond, Eric W, 1990. "A Hedonic Approach to Residential Succession," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 433-444, August.
    9. Magnus Wiese & Robert Knobloch & Ralf Korn & Peter Kretschmer, 2020. "Quant GANs: deep generation of financial time series," Quantitative Finance, Taylor & Francis Journals, vol. 20(9), pages 1419-1440, September.
    10. Majd Al‐Homoud & Salem Al‐Oun & Al‐Mutasem Al‐Hindawi, 2009. "The low‐income housing market in Jordan," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 2(3), pages 233-252, August.
    11. Clapp, John M. & Giaccotto, Carmelo, 1998. "Residential Hedonic Models: A Rational Expectations Approach to Age Effects," Journal of Urban Economics, Elsevier, vol. 44(3), pages 415-437, November.
    12. Ralf Korn & Bilgi Yilmaz, 2022. "House Prices as a Result of Trading Activities: A Patient Trader Model," Computational Economics, Springer;Society for Computational Economics, vol. 60(1), pages 281-303, June.
    13. Melissa Boyle & Katherine Kiel, 2001. "A Survey of House Price Hedonic Studies of the Impact of Environmental Externalities," Journal of Real Estate Literature, Taylor & Francis Journals, vol. 9(2), pages 117-144, January.
    14. Katherine Kiel & Melissa Boyle, 2001. "A Survey of House Price Hedonic Studies of the Impact of Environmental Externalities," Working Papers 0111, College of the Holy Cross, Department of Economics.
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